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Table 2 Prevalence of childhood anaemia by fixed covariates with effect coding used in model

From: “Childhood Anemia in India: an application of a Bayesian geo-additive model”

Factor

N (%)

P*

Effect coding

Place of residence

 

< 0.001

 

 Urban

27,338 (55.2)

 

1

 Rural

92,770 (58.3)

 

-1R

Sex of the child

 

0.644

 

 Male

62,486 (57.5)

 

1

 Female

57,622 (57.6)

 

-1R

Mother’s education

< 0.001

 

 Primary

17,845 (58.3)

 

1

 Secondary

50,460 (54.1)

 

2

 Higher

9467 (50.1)

 

3

 No education

42,336 (64.3)

 

-1R

Wealth index

 

< 0.001

 

 Poor

28,395 (57.6)

 

1

 Middle

23,422 (56.2)

 

2

 Rich

18,677 (53.9)

 

3

 Richest

14,804 (52.9)

 

4

 Poorest

34,810 (63.2)

 

-1R

Fever

 

< 0.001

 

 Yes

16,729 (60.9)

 

1

 No

103,295 (57.1)

 

-1R

 Missing

84 (52.8)

  

Cough

 

0.220

 

 Yes

13,887 (57.1)

 

1

 No

106,159 (57.6)

 

-1R

 Missing

62 (54.9)

  

Child received vitamin A

 

> 0.001

 

 Yes

38,674 (58.1)

 

1

 No

80,003 (57.3)

 

-1R

 Missing

1431 (57.1)

  

Stunting

 

< 0.001

 

 Yes

50,438 (62.7)

 

1

 No

64,015 (53.6)

 

-1R

 Missing

5655 (63.9)

  

Underweight

 

< 0.001

 

 Yes

45,252 (63.7)

 

1

 No

69,201 (53.7)

 

-1R

 Missing

5655 (63.9)

  

Wasting

 

< 0.001

 

 Yes

8814 (64.1)

 

1

 No

105,639 (56.8)

 

-1R

 Missing

5655 (63.9)

  

Mother anaemic

 

< 0.001

 

 Yes

48,928 (67.8)

 

1

 No

70,787 (52.1)

 

-1R

 Missing

393 (58.1)

  
  1. R: Reference category; *: p-value of chi-square test of independence